2023 day 5 part 1.
This commit is contained in:
Mikaël Capelle
parent
825ebea299
commit
b8d8df06d6
93
2023/day5.py
93
2023/day5.py
@ -1,13 +1,104 @@
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import sys
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from collections import defaultdict
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from dataclasses import dataclass
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from typing import Literal, TypeAlias
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MAP_ORDER = [
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"seed",
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"soil",
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"fertilizer",
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"water",
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"light",
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"temperature",
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"humidity",
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"location",
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]
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lines = sys.stdin.read().splitlines()
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seeds: list[int] = []
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maps: dict[tuple[str, str], list[tuple[int, int, int]]] = {}
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# parsing
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index = 2
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while index < len(lines):
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l0 = lines[index]
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p1, _, p2 = l0.split("-")
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p2 = p2.split()[0].strip()
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index += 1
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maps[p1, p2] = []
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while index < len(lines) and lines[index]:
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n1, n2, n3 = lines[index].split()
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maps[p1, p2].append((int(n1), int(n2), int(n3)))
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index += 1
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index += 1
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def find_location(seed: int) -> int:
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value = seed
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for map1, map2 in zip(MAP_ORDER[:-1], MAP_ORDER[1:]):
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for target, start, length in maps[map1, map2]:
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if value >= start and value < start + length:
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value = target + (value - start)
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break
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return value
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def find_range(
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values: tuple[int, int], map: list[tuple[int, int, int]]
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) -> list[tuple[int, int]]:
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r_start, r_length = values
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ranges: list[tuple[int, int]] = []
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print(r_start, r_length)
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for target, start, length in map:
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# start is in the range
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if start <= r_start and r_start < start + length:
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if r_start + r_length < start + length:
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ranges.append(
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(target + r_start - start, r_length)
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)
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else:
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ranges.append(
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(target + r_start - start, length - (r_start - start))
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)
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elif start < r_start:
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if r_start + r_length < start + length:
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ranges.append(
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(target + r_start - start, target + r_start - start + r_length)
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)
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elif start >= r_start and r_start >= start
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if r_start <= start and start < start + length:
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print(start, length, target)
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if r_start + r_length < start + length:
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ranges.append(
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(target + (start - r_start), target + (start - r_start) + length)
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)
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else:
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ranges.append((target + (start - r_start), target + length))
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return ranges
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# part 1
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answer_1 = ...
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seeds = [int(s) for s in lines[0].split(":")[1].strip().split()]
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answer_1 = min(find_location(seed) for seed in seeds)
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print(f"answer 1 is {answer_1}")
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# part 2
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parts = lines[0].split(":")[1].strip().split()
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seeds_p2 = [(int(s), int(e)) for s, e in zip(parts[::2], parts[1::2])]
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for seed in range(seeds_p2[0][0], seeds_p2[0][0] + seeds_p2[0][1]):
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print(seed, find_location(seed))
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print("---")
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seeds_p2 = [seeds_p2[0]]
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for map1, map2 in zip(MAP_ORDER[:-1], MAP_ORDER[1:]):
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seeds_p2 = [s2 for s1 in seeds_p2 for s2 in find_range(s1, maps[map1, map2])]
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print(seeds_p2)
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answer_2 = ...
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print(f"answer 2 is {answer_2}")
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250
2023/inputs/day5.txt
Normal file
250
2023/inputs/day5.txt
Normal file
@ -0,0 +1,250 @@
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seeds: 3640772818 104094365 1236480411 161072229 376099792 370219099 1590268366 273715765 3224333694 68979978 2070154278 189826014 3855332650 230434913 3033760782 82305885 837883389 177854788 2442602612 571881366
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seed-to-soil map:
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496269031 1203272644 52136246
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548405277 496269031 457095898
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1005501175 953364929 249907715
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soil-to-fertilizer map:
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217408321 2086205436 25053699
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2604208456 1670861921 31003781
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1631572552 0 258383552
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129225554 3768288787 36192668
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2421205388 2905533654 126666762
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242462020 3399542287 357404885
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866152503 3032200416 253960559
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2039921781 2262442546 381283607
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2635212237 2714844607 190689047
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3613008578 1753855801 23976114
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3636984692 1503365158 167496763
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1340671861 2111259135 274956
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1889956104 806620565 149965677
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0 3286160975 113381312
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2987089260 956586242 546778916
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2547872150 3756947172 11341615
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3846919647 3807789063 43277850
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3533868176 258383552 79140402
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165418222 1701865702 51990099
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1120113062 586061766 220558799
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2559213765 2217447855 44994691
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3807789063 4255836712 39130584
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3890197497 3851066913 404769799
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1340946817 1777831915 42087923
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2881175496 2111534091 105913764
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113381312 2643726153 15844242
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1383034740 337523954 248537812
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2825901284 2659570395 55274212
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599866905 1819919838 266285598
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fertilizer-to-water map:
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3950520280 1751042330 139651634
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936578795 3912173308 42397072
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3553681000 1722281506 28760824
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697953317 651809140 90189394
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3582441824 876081661 368078456
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978975867 2358439651 252255693
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1495879532 2678320518 199775133
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1910380638 3308279888 122339216
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3355092099 1561901004 91630618
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3187667509 2033753243 70292073
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2752202873 3816184128 41568037
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648600286 479585511 49353031
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3149600631 2356473769 1965882
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1695654665 2629130810 49189708
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201901143 385568770 94016741
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536376004 741998534 3182157
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2472303091 3954570380 279899782
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539558161 257732262 15304877
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3131165165 2610695344 18435466
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3446722717 1890693964 106958283
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2793770910 1653531622 40823934
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9849113 65680232 192052030
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2878736712 2104045316 252428453
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1792836692 2878095651 117543946
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2172585320 1244160117 273599019
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2060645804 3884012463 28160845
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3257959582 3719051611 97132517
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408449515 745180691 127926489
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876081661 4234470162 60497134
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1231231560 3043631916 264647972
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3151566513 1997652247 36100996
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2446184339 3430619104 26118752
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803816626 582518586 69290554
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554863038 9849113 40157204
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2146325022 3857752165 26260298
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788142711 50006317 15673915
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295917884 273037139 112531631
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2834594844 1517759136 44141868
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4090171914 3456737856 204795382
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2088806649 3661533238 57518373
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1744844373 2995639597 47992319
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2032719854 1694355556 27925950
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595020242 528938542 53580044
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water-to-light map:
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556810106 840812947 14926117
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2598413684 2184905392 114045192
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2130064037 1600958027 248227533
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1271028210 1253957270 39538107
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3521286912 4262821917 32145379
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1930562940 1944404618 64932992
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4252373354 3302720391 42593942
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1109026743 279496091 162001467
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725777554 2565853410 3969864
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2712458876 1330352326 185715465
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4039742261 3173278185 129442206
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0 2064417497 120487895
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299311037 855739064 257499069
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729747418 1849185560 95219058
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1373001379 767226476 66231296
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571736223 688212171 79014305
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1878676528 2890412515 51886412
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2898174341 682278717 5933454
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1781236499 441497558 97440029
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3090089298 3673052565 50139248
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1365646204 833457772 7355175
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1738475707 2412172480 42760792
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1995495932 2569823274 134568105
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3193548680 3476912261 196140304
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824966476 538937587 143341130
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3553432291 3723191813 486309970
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3140228546 4209501783 53320134
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968307606 1113238133 140719137
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4169184467 3090089298 83188887
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650750528 204469065 75027026
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1439232675 2704391379 186021136
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2511835025 1516067791 84890236
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1625253811 2298950584 113221896
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3389688984 3345314333 131597928
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2378291570 0 22623317
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2596725261 2942298927 1688423
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1310566317 2009337610 55079887
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2940964744 201446459 3022606
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120487895 22623317 178823142
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2904107795 1293495377 36856949
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2400914887 2454933272 110920138
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light-to-temperature map:
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1244459013 624435822 80444775
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2608592263 3309263777 172991510
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3165402867 2278806547 335097905
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292819381 1643978777 105413752
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704475267 462426854 15399493
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3696584161 2678497330 345840247
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2891254573 3613542439 34162874
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1894523870 281665589 180761265
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1706897891 1456352798 187625979
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398233133 1877125477 198159658
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4176101046 3482255287 104541624
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2278806547 3662029939 329785716
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3500500772 4098883907 196083389
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4280642670 3647705313 14324626
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4149492660 3024337577 11203522
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85784517 0 207034864
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2925417447 3231118601 78145176
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0 1749392529 85784517
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4160696182 3215713737 15404864
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4042424408 3991815655 107068252
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1129076520 207034864 74630725
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596392791 1348270322 108082476
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3100809989 2613904452 64592878
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1326100451 1114082357 234187965
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2864509045 3586796911 26745528
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2781583773 3132788465 82925272
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1560288416 477826347 146609475
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3003562623 3035541099 97247366
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719874760 704880597 409201760
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1324903788 1875928814 1196663
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1203707245 1835177046 40751768
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temperature-to-humidity map:
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2622049454 736812858 79169969
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3979548277 2854489162 116161222
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0 2175018874 84480806
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567798788 2400631546 48501534
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3627076350 2837901836 16587326
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1459224370 1289368272 21397154
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3018037189 3252694507 93925363
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4095709499 4063232797 21404553
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1675574530 2560175285 695067
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650203851 328659590 327259736
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3143763337 3475937023 49576
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1591893253 2091337597 83681277
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3655324442 3516768137 39649206
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1125784995 2259499680 94582805
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1082589333 280432563 43195662
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1676269597 1011614859 3965286
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3955996260 4039680780 23552017
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2701219423 684725863 52086995
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977463587 2387091631 13539915
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3643663676 3346619870 11660766
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3143812913 3556417343 483263437
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2907111949 3358280636 110925240
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2293944099 2615629615 132579811
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991003502 920029028 91585831
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1513630670 1015580145 78262583
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196718861 1310765426 316320664
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1680234883 1638774240 331394507
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2011629390 815982827 1882146
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2874635247 4084637350 32476702
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3701704795 2998403042 254291465
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2426523910 1093842728 195525544
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2837901836 3475986599 8980753
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3694973648 3469205876 6731147
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3111962552 3484967352 31800785
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616300322 662956301 21769562
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1220367800 1627086090 10492300
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1480621524 2354082485 33009146
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2846882589 2970650384 27752658
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1352028950 323628225 5031365
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2753306418 655919326 7036975
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513039525 2560870352 54759263
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84480806 1637578390 1195850
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2013511536 0 280432563
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85676656 2449133080 111042205
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1357060315 817864973 102164055
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638069884 2748209426 12133967
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1230860100 1970168747 121168850
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humidity-to-location map:
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3071447765 3790677895 35519893
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501148922 1470714761 60946444
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949413779 3960084356 1114317
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2276139972 547813284 42132370
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261623667 0 220957931
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0 220957931 207965683
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2629055810 2988733812 367963097
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936813255 2507216386 12600524
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3106967658 2402339659 33240399
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909841910 3356696909 11084951
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1030029700 920191219 341387512
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2503236334 3572469232 125819476
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1371417212 1666455982 273052538
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2997018907 3367781860 25674024
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3311094548 2519816910 468916902
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2021404744 1531661205 83389724
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3140208057 1939508520 59879232
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259387264 428923614 2236403
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950528096 1334878052 79501604
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2446901229 1414379656 56335105
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1644469750 3393455884 140294896
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3022692931 3698288708 48754834
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4042169428 1999387752 252797868
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1805974329 3981490698 215430415
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1784764646 501148922 21209683
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889549885 3961198673 20292025
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3780011450 522358605 10399946
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2104794468 1261578731 73299321
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3790411396 3842084182 118000174
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2318272342 2252185620 113574154
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4003450976 3533750780 38718452
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2178093789 4196921113 98046183
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3908411570 3747043542 43634353
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562095366 2435580058 71636328
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2431846496 532758551 15054733
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920926861 3826197788 15886394
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3952045923 1615050929 51405053
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207965683 431160017 51421581
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633731694 2365759774 36579885
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670311579 700952913 219238306
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3200087289 589945654 111007259
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33
2023/tests/day5.txt
Normal file
33
2023/tests/day5.txt
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@ -0,0 +1,33 @@
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seeds: 79 14 55 13
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seed-to-soil map:
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50 98 2
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52 50 48
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soil-to-fertilizer map:
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0 15 37
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37 52 2
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39 0 15
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fertilizer-to-water map:
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49 53 8
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0 11 42
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42 0 7
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57 7 4
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water-to-light map:
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88 18 7
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18 25 70
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light-to-temperature map:
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45 77 23
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81 45 19
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68 64 13
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temperature-to-humidity map:
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0 69 1
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1 0 69
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humidity-to-location map:
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60 56 37
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56 93 4
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